IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 58, NO. 3, JUNE 2011 639
Towards Optimal Collimator Design for the PEDRO
Hybrid Imaging System
Chuong V. Nguyen, John E.Gillam, Jeremy M. C. Brown, David V. Martin, Dmitri A. Nikulin, and
Matthew R. Dimmock
Abstract—The Pixelated Emission Detector for RadiOisotopes
(PEDRO) is a hybrid imaging system designed for the measure-
ment of single photon emission from small animal models. The
proof-of-principle device consists of a Compton-camera situated
behind a mechanical collimator and is intended to provide optimal
detection characteristics over a broad spectral range, from 30 to
511 keV. An automated routine has been developed for the op-
timization of large-area slits in the outer regions of a collimator
which has a central region allocated for pinholes. The optimization
was tested with a GEANT4 model of the experimental prototype.
The data were blurred with the expected position and energy res-
olution parameters and a Bayesian interaction ordering algorithm
was applied. Images were reconstructed using cone back-projec-
tion. The results show that the optimization technique allows the
large-area slits to both sample fully and extend the primary field
of view (FoV) determined by the pinholes. The slits were found
to provide truncation of the back-projected cones of response and
also an increase in the success rate of the interaction ordering al-
gorithm. These factors resulted in an increase in the contrast and
signal-to-noise ratio of the reconstructed image estimates. Of the
two configurations tested, the cylindrical geometry outperformed
the square geometry, primarily because of a decrease in artifacts.
This was due to isotropic modulation of the cone surfaces, that can
be achieved with a circular shape. Also, the cylindrical geometry
provided increased sampling of the FoV due to more optimal posi-
tioning of the slits. The use of the cylindrical collimator and appli-
cation of the transmission function in the reconstruction was found
to improve the resolution of the system by a factor of 20, as com-
pared to the uncollimated Compton camera. Although this system
is designed for small animal imaging, the technique can be applied
to any application of single photon imaging.
Index Terms—Compton scattering enhancement, multiple pin-
hole, PEDRO.
I. INTRODUCTION
S
INGLE photon emission imaging devices are typically
based on either mechanical [1]–[3] or electronic (Compton)
[4] collimation. Mechanical collimators are composed of high
Manuscript received November 15, 2010; revised March 04, 2011; accepted
March 21, 2011. Date of publication May 05, 2011; date of current version June
15, 2011. This work was supported by the Cooperative Research Center for
Biomedical Imaging Development Ltd (CRC-BID), established and supported
under the Australian Government’s Cooperative Research Centers Program.
C. V. Nguyen and M. R. Dimmock are with the School of Physics,
Monash University, Melbourne, VIC 3800, Australia and also with the
Monash Node of the CRC for Biomedical Imaging Development, Melbourne,
VIC 3800, Australia (e-mail: chuong.nguyen@monash.edu; matthew.dim-
mock@monash.edu).
J. E. Gillam is with the Instituto de Fisica Corpuscular (IFIC), Universidad
de Valencia-CSIC, Valencia, Spain.
J. M. C. Brown and D. V. Martin are with the School of Physics, Monash
University, Melbourne, VIC 3800, Australia.
D. A. Nikulin is with the Monash Node of the CRC for Biomedical Imaging
Development, Melbourne, VIC 3800, Australia.
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TNS.2011.2134869
Z materials that modulate the photon flux incident on the de-
tector. This allows a high resolution estimate of the radio-tracer
distribution to be obtained at the expense of system sensitivity.
Electronic collimation requires no physical modulation of the
incidentflux.However,theresolutionoftheimageestimateislim-
ited by the detector position and energy resolutions and Doppler
broadening. Typically, highly pixelated semiconductor detectors
are utilized as they provide superior energy resolution over con-
ventional scintillation detectors. Following a Compton scattered
event an additional tracking or interaction ordering step is per-
formed to determine the first and second interactions that define
the cone of response (CoR). The subsequent back-projection of
CoRs from many such events yields a high sensitivity, but gener-
ally low resolution, estimate of the radioisotope distribution.
The Pixelated Emission Detector for RadiOisotopes
(PEDRO) [5] is a proof of principle hybrid imaging system
being developed to investigate the combination of mechan-
ical and electronic (hybrid) collimation [6]–[9]. The intended
energy range for operation is from 30 to 511 keV. The optimiza-
tion of this hybrid system should yield image estimates with
both high resolution and high sensitivity. This will be achieved
through reconstruction of both lines of response (LoRs) from
well-defined pinholes in the center of the collimator and modu-
lated CoRs from large-area apertures in the outer-regions. The
aim of such an optimization is to increase the number of pho-
tons which impinge on the detector stack without polluting the
pinhole projection data. It is expected that the modulated CoRs
should complement the pinhole data, extending the field of
view (FoV) and improve the iterative reconstructions. In order
to achieve this goal, several constraints must be considered in
the design of the large-area slits:
• The apertures must be able to focus the incident photons at
pre-determined regions of the detector stack.
• The photons should be directed in a manner which maxi-
mizes the probability of a Compton scatter being the pri-
mary interaction mechanism.
• The overlap between the pinhole FoV and the large-area
slit FoV should be maximized in order that the resulting
images can be combined and/or quantitatively compared.
This paper focuses on collimator optimization for photons
with an incident energy . The experimental pro-
totype that is currently being tested is introduced in Section II.
The 2D-optimization of slit geometries and the extension to 3D
are described in Section III. This section also details the opti-
mization procedure and the Compton reconstruction algorithm.
Quantified results from Monte-Carlo simulations of the experi-
mental prototype are presented in Sections IV and V. Finally, the
results and directions for future work are provided in Section VI.
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